Auto-calibration of emission spectra of light sources captured using camera spectrometer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The work documented in this paper gives a working knowledge of mapping the spectral lines in the emission spectra of physical objects to their corresponding wavelengths. In simpler terms RGB triplets in the spectrogram image are mapped to their corresponding wavelengths on the visible spectrum. Peaks of CIE RGB color matching functions are directly mapped one on one to peaks of the R, G and B intensity plots of the spectrogram. This methodology was tested on fluorescent lamps, white LED torch light, 100W Incandescent lamp and noon solar spectrum. The resulting spectrograms of the test light source were in close agreement with the respective theoretical references. Camera spectrometer is auto-calibrated and the need for a standard source during calibration is omitted.

Original languageEnglish
Title of host publication2015 International Conference on Smart Sensors and Systems, IC-SSS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467393287
DOIs
Publication statusPublished - 07-03-2017
Event2015 International Conference on Smart Sensors and Systems, IC-SSS 2015 - Bangalore, India
Duration: 21-12-201523-12-2015

Conference

Conference2015 International Conference on Smart Sensors and Systems, IC-SSS 2015
CountryIndia
CityBangalore
Period21-12-1523-12-15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Instrumentation
  • Artificial Intelligence

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    Shailesh, K. R., Kurian, C. P., & Kini, S. G. (2017). Auto-calibration of emission spectra of light sources captured using camera spectrometer. In 2015 International Conference on Smart Sensors and Systems, IC-SSS 2015 [7873614] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMARTSENS.2015.7873614